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shreyyzsh

Claude-NWS Protocol Bridge

by shreyyzsh

get_forecast

Retrieve weather forecasts for US locations by providing latitude and longitude coordinates through the Claude-NWS Protocol Bridge.

Instructions

Getting weather forecast for a location.

Args:
    latitude: latitude of the location
    longitude: longitude of the location

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYes
longitudeYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states what the tool does without mentioning any behavioral traits such as rate limits, authentication needs, error handling, data freshness, or what the response format looks like. For a tool with no annotation coverage, this leaves significant gaps in understanding how it behaves.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized with two sentences: one stating the purpose and another listing parameters. It's front-loaded with the main functionality. However, the 'Args' section could be integrated more smoothly, and there's some redundancy in repeating parameter names without added value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (a weather forecasting tool with 2 parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what the forecast includes (e.g., temperature, precipitation), time frames, data sources, or error cases. This makes it inadequate for an agent to use the tool effectively without additional context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description explicitly lists and names the two parameters (latitude and longitude) in the 'Args' section, which adds meaning beyond the input schema (which has 0% description coverage). However, it doesn't provide additional details like valid ranges, units, or examples. With low schema coverage, the description compensates somewhat but not fully.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Getting weather forecast for a location.' It specifies the verb ('Getting') and resource ('weather forecast'), making it easy to understand what the tool does. However, it doesn't distinguish from its sibling tool 'get_alerts', which appears to be related but serves a different function (likely getting weather alerts rather than forecasts).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention the sibling tool 'get_alerts' or explain the difference between getting forecasts and alerts. There's no context about prerequisites, limitations, or appropriate use cases beyond the basic functionality.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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